MIT-Princeton at the Amazon Robotics Challenge
Humans possess a remarkable ability to grasp and recognize objects in the dynamic environments of everyday life. Inspired by this, the main goal of our research is to design robust and practical state-of-the-art solutions for robotic pick-and-place, a technology central to many applications: from picking packages in a logistics center to bin-picking in a manufacturing plant; from unloading groceries at home to clearing debris after a disaster.
In order to demonstrate the capabilities of our robot designs and algorithms, we put them to the test at the worldwide Amazon Robotics Challenge, competing aginst state-of-the-art solutions from world-class researchers and engineers from industry and academia (Mitsubishi, Panasonic, CMU, Duke, and more).
Here you will find links to our robotic pick-and-place solutions for the 2016 and 2017 edition of the Amazon Robotics Challenge. These research works came out of a wonderful collaboration between the MIT MCube Lab (robot manipulation) and the Princeton Vision and Robotics Group (robot perception).